OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Spatio-temporal analysis of drought in Southern Italy: a combined clustering-forecasting approach based on SPEI index and artificial intelligence algorithms
Fabio Di Nunno, Francesco Granata
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 6, pp. 2349-2375
Closed Access | Times Cited: 25

Showing 25 citing articles:

Neuroforecasting of daily streamflows in the UK for short- and medium-term horizons: A novel insight
Francesco Granata, Fabio Di Nunno
Journal of Hydrology (2023) Vol. 624, pp. 129888-129888
Closed Access | Times Cited: 54

A stacked machine learning model for multi-step ahead prediction of lake surface water temperature
Fabio Di Nunno, Senlin Zhu, Mariusz Ptak, et al.
The Science of The Total Environment (2023) Vol. 890, pp. 164323-164323
Open Access | Times Cited: 50

Hydraulic flow unit and rock types of the Asmari Formation, an application of flow zone index and fuzzy C-means clustering methods
Seyedeh Hajar Eftekhari, Mahmoud Memariani, Zahra Maleki, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 17

Drought Impact, Vulnerability, Risk Assessment, Management and Mitigation under Climate Change: A Comprehensive Review
Ghani Rahman, Minkyu Jung, Tae‐Woong Kim, et al.
KSCE Journal of Civil Engineering (2025) Vol. 29, Iss. 1, pp. 100120-100120
Open Access | Times Cited: 4

Analysis of SPI index trend variations in the United Kingdom - A cluster-based and bayesian ensemble algorithms approach
Fabio Di Nunno, Giovanni de Marinis, Francesco Granata
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101717-101717
Open Access | Times Cited: 10

Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy
Mehdi Jamei, Mumtaz Ali, Sayed M. Bateni, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108609-108609
Closed Access | Times Cited: 6

A Combined Clustering and Trends Analysis Approach for Characterizing Reference Evapotranspiration in Veneto
Fabio Di Nunno, Marco De Matteo, Giovanni Izzo, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11091-11091
Open Access | Times Cited: 14

Mapping drought evolution in Ethiopia: trends, clustering, and Bayesian estimation of abrupt changes
Fabio Di Nunno, Mehmet Berkant Yıldız, Yordanos Gebru Afework, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 5

The socioeconomic impact of severe droughts on agricultural lands over different provinces of Iran
Yusef Kheyruri, Ahmad Sharafati, Aminreza Neshat
Agricultural Water Management (2023) Vol. 289, pp. 108550-108550
Open Access | Times Cited: 10

An innovative method integrating run theory and DBSCAN for complete three-dimensional drought structures
Jing Zhang, Min Zhang, Yang Yu, et al.
The Science of The Total Environment (2024) Vol. 926, pp. 171901-171901
Open Access | Times Cited: 3

Evapotranspiration Analysis in Central Italy: A Combined Trend and Clustering Approach
Fabio Di Nunno, Nazzareno Diodato, Gianni Bellocchi, et al.
Climate (2024) Vol. 12, Iss. 5, pp. 64-64
Open Access | Times Cited: 3

Drought prediction in Jilin Province based on deep learning and spatio-temporal sequence modeling
Zhaojun Hou, Beibei Wang, Yichen Zhang, et al.
Journal of Hydrology (2024) Vol. 642, pp. 131891-131891
Closed Access | Times Cited: 2

Analysis of the Spatiotemporal Trends of Standardized Drought Indices in Sicily Using ERA5-Land Reanalysis Data (1950–2023)
Tagele Mossie Aschale, Antonino Cancelliere, Nunziarita Palazzolo, et al.
Water (2024) Vol. 16, Iss. 18, pp. 2593-2593
Open Access | Times Cited: 2

Exploring streamflow dynamics: trends and abrupt changes in major European rivers
Fabio Di Nunno, Carlo Giudicianni, Enrico Creaco, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 12, pp. 5019-5038
Closed Access | Times Cited: 2

Integration of SPEI and machine learning for assessing the characteristics of drought in the middle ganga plain, an agro-climatic region of India
Barnali Kundu, Narendra Kumar Rana, Sonali Kundu, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 54, pp. 63098-63119
Closed Access | Times Cited: 1

Drought Characterization in Croatia Using E-OBS Gridded Data
João Filipe Santos, Lidija Tadić, María Manuela Portela, et al.
(2023)
Open Access | Times Cited: 3

Precipitation Modeling Based on Spatio-Temporal Variation in Lake Urmia Basin Using Machine Learning Methods
S Izadi Arbabi, Mohammad Taghi Sattari, Nasrin Fathollahzadeh Attar, et al.
Water (2024) Vol. 16, Iss. 9, pp. 1246-1246
Open Access

Comparison of U-Net and Fully Convolutional Networks (FCN) for concrete cracks detection using raw images under various conditions
Mohammed AL-Qadri, Peiwei Gao, Hui Zhang, et al.
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-13
Closed Access

Methodology for Obtaining ETo Data for Climate Change Studies: Quality Analysis and Calibration of the Hargreaves–Samani Equation
Antónia Ferreira, Maria do Rosário Cameira, João Rolim
Climate (2024) Vol. 12, Iss. 12, pp. 205-205
Open Access

Current and future variability of water supply to a mountain reservoir (Polish Carpathians)
Witold Bochenek, Łukasz Wiejaczka
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 12, pp. 5051-5069
Open Access | Times Cited: 1

Drought Characterization in Croatia Using E-OBS Gridded Data
João Filipe Santos, Lidija Tadić, María Manuela Portela, et al.
Water (2023) Vol. 15, Iss. 21, pp. 3806-3806
Open Access | Times Cited: 1

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